This is an important question.
You're saying it's Google who have done this research. In a way that's true. But really it is Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet and Mohammad Norouzi who did it, with material support from Google.
It's likely that some or all of these people would have refused to do the work they do if Google kept it all as their secret sauce.
And moreover, there are excellent reasons why they wouldn't want to. It's not just the obvious that if it all were secret, they wouldn't be able to use it in their non-Google career advancement. It's also that research without the freedom to talk is far more difficult and frustrating.
On paper, scientific papers are supposed to document the whole of the discovery/innovation. So you might think that an insider, who got to read all the secret Google research papers AND all the public ones would have an advantage. But problem is, even the best written papers with full code and comments inevitably leave out things, especially of the "why this and not that" type.
If you're a researcher in the free world, you can just ask. Especially if you have a public track record of great papers yourself, they will WANT to talk to you. You can learn so much more from the interactive process of back and forth questions than you can from a static piece of information like a scientific paper.
If you work for a secretive and command-driven organization, you need to be careful about what you reveal of your own research when you ask. You can't talk freely. The thought of having to justify your communication to some old-school IBM lawyer type, is going to chill even the most enthusiastic reseacher. It's easier to just stay in your own corporate bubble, and focus on the things your corporation does well since at least you can talk freely to your colleagues (although in really paranoid organizations like the NSA or old IBM, even that may not be true). But then at best you specialize, at worst you fall behind.